Web: http://arxiv.org/abs/2206.07967

June 17, 2022, 1:13 a.m. | Rui Wang, Xiao-Jun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler

cs.CV updates on arXiv.org arxiv.org

Image set-based visual classification methods have achieved remarkable
performance, via characterising the image set in terms of a non-singular
covariance matrix on a symmetric positive definite (SPD) manifold. To adapt to
complicated visual scenarios better, several Riemannian networks (RiemNets) for
SPD matrix nonlinear processing have recently been studied. However, it is
pertinent to ask, whether greater accuracy gains can be achieved by simply
increasing the depth of RiemNets. The answer appears to be negative, as deeper
RiemNets tend to lose …

arxiv classification cv deep learning manifold network on

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